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basically, lets say there's 100 video sequences ~100MB each (so these videos are stored in individual chunks), if my goal is to train a model where each batch has, say, 20 frames but i would like it to be shuffled with respect to the video index (so i don't want to mis-match video frames in any batches), what kind of random sampling guarentees can i expect?
🐛🐛 Bug Report
created a video tensor (mp4), added 35 samples, tried to use the
ds.pytorch
function, got this error:⚙️ Environment
ubuntu 20.04, python=3.7.13, jupyter notebook
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